AI News
Fifteen Lincoln Laboratory technologies receive 2024 R&D 100 Awards
The innovations map the ocean floor and the brain, prevent heat stroke and cognitive injury, expand AI processing and quantum system capabilities, and introduce new fabrication approaches.
3 Questions: Should we label AI systems like we do prescription drugs?
Researchers argue that in health care settings, “responsible use” labels could ensure AI systems are deployed appropriately.
Google, Meta Criticise UK and EU AI Regulations
Meta has penned an open letter to Europe expressing concerns about AI regulation, while a Google exec has spoken out about the laws in the U.K. that prevent training models on copyrighted materials.
Google Expands Gemini AI Security and Contact Center Offerings
Users on Google Workspace Business, Enterprise, and Frontline plans can now access Google Gemini without switching to a personal email address.
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Accelerating particle size distribution estimation
MIT researchers speed up a novel AI-based estimator for medication manufacturing by 60 times.
Compact 'gene scissor' enables effective genome editing
CRISPR-Cas is used broadly in research and medicine to edit, insert, delete or regulate genes in organisms. TnpB is an ancestor of this well-known 'gene scissor' but is much smaller and thus easier to transport into cells. Using protein engineering and AI algorithms, researchers have now enhanced TnpB capabilities to make DNA editing more efficient and versatile, paving the way for treating a genetic defect for high cholesterol in the future.
Sending One Email With ChatGPT is the Equivalent of Consuming One Bottle of Water
ChatGPT usage can draw as much water as the state of Rhode Island does in 1.5 days, say The Washington Post and the University of California, Riverside.
HackerOne: Nearly Half of Security Professionals Believe AI Is Risky
The Hacker-Powered Security Report showed mixed feelings toward AI in the security community, with many seeing leaked training data as a threat.
Microsoft taps Three Mile Island nuclear plant to power AI
The data centers that train the large language models behind AI consume unimaginable amounts of energy, and the stakes are high for big tech companies to ensure they have enough power to run those plants. That’s why Microsoft is now throwing its weight behind nuclear power. The tech giant on Friday signed a major deal […] © 2024 TechCrunch. All rights reserved. For personal use only.
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Google NotebookLM: Expands Sources, Introduces Audio Features
Google’s NotebookLM update expands source options and citation features, enhancing research and note-taking with more accurate and diverse references.
New AI JetPack accelerates the entrepreneurial process
The digital adviser helps users swiftly navigate the 24-step "Disciplined Entrepreneurship" process.
AI model can reveal the structures of crystalline materials
By analyzing X-ray crystallography data, the model could help researchers develop new materials for many applications, including batteries and magnets.
Digital Maturity Key to AI Success in Australian Cyber Security
ManageEngine reveals that digital maturity is essential for AI success in Australian cybersecurity. Discover how streamlined processes and automation boost AI ROI and effectiveness.
Google to Label AI-Generated Images in Search Results
Google’s new AI disclosure feature can impact customer trust and help to maintain credibility in search and advertising.
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Study: AI could lead to inconsistent outcomes in home surveillance
Researchers find large language models make inconsistent decisions about whether to call the police when analyzing surveillance videos.
Artificial intelligence grunt work can be outsourced using a new blockchain-based framework developed by Concordians
Researchers have developed a new framework to make complex AI tasks more accessible and transparent to users. The framework specializes in providing solutions to deep reinforcement learning (DRL) requests. The framework pairs developers, companies and individuals that have specific but out-of-reach AI needs with service providers who have the resources, expertise and models they require. The service is crowdsourced, built on a blockchain and uses a smart contract -- a contract with a pre-defined set of conditions built into the code -- to match the users with the appropriate service provider.
Artificial intelligence grunt work can be outsourced using a new blockchain-based framework
Researchers have developed a new framework to make complex AI tasks more accessible and transparent to users. The framework specializes in providing solutions to deep reinforcement learning (DRL) requests. The framework pairs developers, companies and individuals that have specific but out-of-reach AI needs with service providers who have the resources, expertise and models they require. The service is crowdsourced, built on a blockchain and uses a smart contract -- a contract with a pre-defined set of conditions built into the code -- to match the users with the appropriate service provider.
